DESCRIPTION
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon is looking for a talented, customer-obsessed Business Analyst to be based in Singapore to help shape the future of our Data Centres. This team focuses on driving operational excellence and optimization for our data centre planners/infra program managers, procurement team, supply solutions team, energy and water team, and also our construction, commissioning and controls teams. The role offers an opportunity to support stakeholders in driving business process improvement and automation projects which includes optimizing reporting metrics and building dashboards.
Key job responsibilities
- Translate basic business problem statements into analysis requirements
- Write queries and output efficiently
- Convert data to make it analysis- ready through basic descriptives, aggregations, and pivots
- Implement/deploy data visualization or communication tools (e.g., metrics dashboards, decks, flashes)
- Communicate analysis and work with business stakeholders to understand its value
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
BASIC QUALIFICATIONS
Advanced knowledge of using SQL and Tableau
- Proficient in Microsoft Office, particularly Excel Pivots, Power Pivots, Macros etc.
- Good written and verbal communication skills
- Self-motivated to work proactively on tasks Data driven and comfortable to work on data analyst tasks
- Great team player
PREFERRED QUALIFICATIONS
- Candidates from a Science, Technology, Engineering or Math background
- Demonstrated project management and organizational skills.
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